This study introduces a novel model known as the Parallel Scheduling Vehicle Routing Problem (PSVRP) in an endeavor to revolutionize package delivery by enhancing its efficiency, accessibility, and cost-effectiveness. The PSVRP represents a state-of-the-art approach to vehicle routing problems by incorporating a diversified fleet of innovative delivery modes. For example, a multimodal fleet of electric vans, ADVs, drones, and truck-drone systems can work in unison to minimize operational costs in various settings. The model can also be adapted to different scenarios with variations in customer numbers, package weights, and fleet composition. Please contact Dr. Marcella Kaplan at mkaplan@utk.edu if you are interested in using or licensing the model for commercial applications.

The evolution of delivery services has reshaped consumer behavior and expectations for availability, speed, and cost. The delivery/logistics industry has not adopted business models to mitigate challenges in delivery services, creating “delivery deserts”—regions where accessibility and efficiency of delivery services are severely limited or non-existent. This research addresses the limited exploration of delivery deserts, a concept that diverges from the commonly studied “food deserts.” These deserts, often found in rural areas, create disparities in service availability and efficiency, affecting the backbone of e-commerce and access to essential goods like groceries and medicines, especially for vulnerable populations. Our project employs a detailed, two-phase approach to tackle delivery deserts in America. It integrates identifying and understanding the problem, quantifying and mapping these deserts, and identifying barriers. You can view the interactive Delivery Deserts Dashboard here (LINK COMING SOON).

This research project explores the role of household dynamics in the decision to purchase electric vehicles (EVs). We’re surveying EV owners in the Knoxville area to better understand how families make decisions about adopting this technology. Findings from this research will contribute to a deeper understanding of the social and behavioral factors that shape EV adoption. This work will support transportation policy, market strategies, and community-level initiatives to support the transition to cleaner mobility solutions.